import numpy as np

Q2: Planetary positions

The distances of the planets from the Sun (technically, their semi-major axes) are:

a = np.array([0.39, 0.72, 1.00, 1.52, 5.20, 9.54, 19.22, 30.06, 39.48])

These are in units where the Earth-Sun distance is 1 (astronomical units).

The corresponding periods of their orbits (how long they take to go once around the Sun) are, in years

P = np.array([0.24, 0.62, 1.00, 1.88, 11.86, 29.46, 84.01, 164.8, 248.09])

Finally, the names of the planets corresponding to these are:

names = ["Mercury", "Venus", "Earth", "Mars", "Jupiter", "Saturn",
         "Uranus", "Neptune", "Pluto"]

(technically, pluto isn’t a planet anymore, but we still love it :)

• Plot as points, the periods vs. distances for each planet on a log-log plot.

• Write the name of the planet next to the point for that planet on the plot

from BicoccaCoursePython2024.terza_lezione import figure

fig=figure()

fig.show_planets_orbits()

Q8: Game of Life visualization

If you’ve implemented Conway’s Game of Life from last lecture, make a visualization of your result using matplotlib

from IPython.display import HTML

ani=fig.animate_Game_of_life()

vid=HTML(ani.to_jshtml())

vid

Once Loop Reflect